Advanced Optimization Enabling Digital Twin Technology

In this topical collection (20 articles)

1. 

   Review Paper

   A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies

   Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu… Article:354

2. 

   Research Paper

   Health index construction with feature fusion optimization for predictive maintenance of physical systems

   Venkat Nemani, Austin Bray, Adam Thelen… Article:349

3. 

   Research Paper

   Seismic fragility analysis of deteriorated bridge structures employing a UAV inspection-based updated digital twin

   Sungsik Yoon, Sangmok Lee, Seungkyung Kye… Article:346

4. 

   Research Paper

   Multi-fidelity neural optimization machine for Digital Twins

   Jie Chen, Changyu Meng, Yi Gao, Yongming Liu Article:340

5. 

   Research Paper

   Surrogate modeling of acoustic field-assisted particle patterning process with physics-informed encoder–decoder approach

   Yu Hui Lui, M. Shahriar, Yayue Pan, Chao Hu… Article:333

6. 

   Research Paper

   Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies

   Ruoxin Geng, Mian Li, Zongyang Hu, Zixi Han… Article:321

7. 

   Research Paper

   Digital twin for component health- and stress-aware rotorcraft flight control

   William Sisson, Pranav Karve… Article:318

8. 

   Research Paper

   Digital-twin-enhanced metal tube bending forming real-time prediction method based on multi-source-input MTL

   Chang Sun, Zili Wang, Shuyou Zhang… Article:296

9. 

   Research Paper

   Effective band-selection algorithm for rolling element bearing diagnosis using AE sensor data under noisy conditions

   Su J. Kim, Sungjong Kim, Seungyun Lee… Article:275

10. 

    Research Paper

    Diagnostics and prognostics of multi-mode failure scenarios in miter gates using multiple data sources and a dynamic Bayesian network

    Zihan Wu, Travis B. Fillmore, Manuel A. Vega… Article:270

11. 

    Research Paper

    Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network

    Seokgoo Kim, Joo-Ho Choi, Nam Ho Kim Article:255

12. 

    Research Paper

    Toward digital twin development for additively manufactured turbine blades with experimental and analytical methods

    Daniel Miller, Ryan Kemnitz, Ramana Grandhi… Article:227

13. Research Paper

    A surrogate model to accelerate non-intrusive global–local simulations of cracked steel structures

    Travis B. Fillmore, Zihan Wu, Manuel A. Vega… Article:208

    Download PDF (3762KB) View Article

14. Research Paper

    A rotorcraft in-flight ice detection framework using computational aeroacoustics and Bayesian neural networks

    Myles Morelli, Jeremiah Hauth… Article:197

    Download PDF (4051KB) View Article

15. 

    Research Paper

    Bayesian model updating of concrete-embedded miter gate anchorages and implications for design

    Nathaniel Levine, Thomas Golecki… Article:60

16. 

    Research Paper

    Digital twins for the designs of systems: a perspective

    Anton van Beek, Vispi Nevile Karkaria… Article:49

17. 

    Research Paper

    Bi-fidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion

    Dongjin Lee, Boris Kramer Article:33

18. 

    Research Paper

    The connection between digital-twin model and physical space for rotating blade: an atomic norm-based BTT undersampled signal reconstruction method

    Ruochen Jin, Laihao Yang, Zhibo Yang, Yu Sun… Article:27

19. 

    Research Paper

    A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification

    Pei Cao, Yang Zhang, Kai Zhou, J. Tang Article:16

20. 

    Review Article

    A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

    Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu… Article:1